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| Criterion |  Agile Affinity Estimation |  Product Discovery Hypothesis Prioritization Canvas |  UX Design Lean UX Canvas |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 60-90 min | 2-3 h | 1-2 h Setup, laufend |
Participantsdifferent | 3-12 | 3-8 | 3-8 | 2-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Prioritization Canvas, Hypothesis Backlog | Completed Lean UX Canvas, Hypothesis list, First experiment | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | EstimationBacklogRelative sizing | ExperimentsPrioritizationDiscoveryHypothesis | CanvasHypothesisOutcomesDiscovery | DiscoveryOutcomesExperimentsOpportunity |